MiniMax Mavis Integrations

MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.

MiniMax M3.1 Flash is an advanced hosted language model designed specifically for developers who are creating coding assistants, AI agents, and various software applications. It can be accessed via MiniMax's API and MiniMax Code, allowing it to process inputs in text, image, and video formats while generating relevant text responses. Among its documented applications are functionalities such as code generation, debugging, complex reasoning tasks, tool utilization, analysis of codebases and documents, as well as enhancing computer workflows. The API boasts an impressive context window that can handle up to 1 million tokens, offers adjustable reasoning capabilities, and supports request formats that are compatible with both OpenAI and Anthropic standards. Charges for usage are based on the number of tokens used for input, output, and cached input. Comprehensive documentation is provided by MiniMax to assist with API integration and effective model utilization. M3.1 Flash is accessible through the hosted API, M Plan, and MiniMax Code, while there are plans to release model weights in the future, expanding its potential applications even further. This innovation represents a significant step forward in the integration of AI into software development processes.

MiniMax is an AI platform that provides multimodal foundation models, developer tools, and intelligent agent solutions designed to support coding, automation, content generation, and enterprise AI applications. The company’s flagship model, MiniMax M3, delivers advanced coding performance, long-context processing capabilities of up to one million tokens, and native multimodal functionality that enables seamless understanding and generation of text, audio, images, video, and music. MiniMax Code serves as an AI-powered coding environment that allows users to build agent teams, automate repetitive development tasks, create custom skills, and manage workflows through a unified conversational interface. In addition to coding solutions, the platform offers video generation through Hailuo AI, speech and music generation models, conversational AI products, and developer APIs for integrating AI into custom applications. The platform is designed to support both individual users and enterprise teams seeking scalable AI tools for software development, business automation, creative production, and research. By combining frontier AI models with practical productivity applications, MiniMax enables organizations to streamline operations, enhance innovation, and build intelligent systems more efficiently.